If by fitted values corresponding to each predictor you mean the regression coefficients , then use
coef(ft) -- David. Sent from my iPhone On Aug 24, 2013, at 6:43 AM, alR <ac...@le.ac.uk> wrote: > I have fitted a multiple regression model to the row of a matrix using lm: > > ft<-lm(datos[i, ]-r1 + r2+ r3 + r4,keep.data = TRUE,model=TRUE) > > If I use fitted(ft) I get the list of fitted values (which I think is the > mean of the fitted values corresponding to each of the explanatory variables > (r1, r2, r3, r4)). But I need to get the fitted values list for each > explanatory variable. How to do it? > > I tried with: > > fitted(ft, level = 3) > > but the fitted list returned is the same for any value of level. > > I am missing an argument in lm or in fitted or in both? > > Thank you very much. > > Alberto Capurro > Marie Curie Research Fellow > Department of Cell Physiology and Pharmacology > College of Medicine, Biological Sciences and Psychology > Maurice Shock Medical Sciences Building, Room 330 > University of Leicester > Leicester LE1 9HN > United Kingdom > > > > > > -- > View this message in context: > http://r.789695.n4.nabble.com/fitted-tp4674442.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
